Business & People want fast exact and correct answer of all questions from this massive amount of data.

Challenge 3: Current Technologies Can not deliver with this massive data growth.

Historical DBMS :

Historically database systems were designed to perform well on computer systems with limited RAM, this had the effect that slow disk I/O was the main bottleneck in data throughput. Consequently the architecture of these systems was designed with a focus on optimizing disk access, e. g. by minimizing the number of disk blocks (or pages) to be read into main memory when processing a query.

New Hardware Architecture ( up to or more 128 Cores of CPU and 2TB of RAM)

Computer architecture has changed in recent years. Now multi-core CPUs (multiple CPUs on one chip or in one package) are standard, with fast communication between processor cores enabling parallel processing. Main memory is no-longer a limited resource, modern servers can have 1 TB of system memory and this allows complete databases to be held in RAM. Currently server processors have up to 80 cores, and 128 cores will soon be available. With the increasing number of cores, CPUs are able to process increased data per time interval. This shifts the performance bottleneck from disk I/O to the data transfer between CPU cache and main memory

Need of In-memory Technology SAP HANA :

From the discussion above it is clear that traditional databases might not use current hardware most efficiently and not able to fulfill current and future business need.

The SAP HANA database is a relational database that has been optimized to leverage state of the art hardware. It provides all of the SQL features of a standard relational database along with a feature rich set of analytical capabilities.

Using groundbreaking in-memory hardware and software, HANA can manage data at massive scale, analyze it at amazing speed, and give the business not only instant access to real time transactional information and analysis but also more flexibility. Flexibility to analyze new types of data in different ways, without creating custom data warehouses and data marts. Even the flexibility to build new applications which were not possible before.

SAP HANA can be defined as an appliance that combines SAP software components optimized on hardware provided by SAP’s leading hardware partners. It comes in a bundle of softwares along with the hardware (servers). SAP HANA servers are sold in “t-shirt” sizes ranging from Extra-Small (128GB RAM) all the way up to Extra Large (>2TB RAM) with multicore CPUs.

SAP HANA is both a database (in the traditional sense) and a database platform (in the modern sense).

In its current form SAP HANA can be used for four basic types of use case:

Sir Hasso Plattner is a cofounder of software giant SAP AG. Today he is Chairman of the Supervisory Board of SAP AG.

Plattner founded the Hasso Plattner Institute for software systems engineering based at the University of Potsdam, and in Palo Alto, California, its only source of funding being the non-profit Hasso Plattner Foundation for Software Systems Engineering.

SAP® Sybase® SQL Anywhere: This market-leading mobile and embedded database with millions of deployments is planned to be the front-end database for the SAP HANA platform, extending its reach to mobile and embedded applications in real time.

SAP® Sybase® PowerDesigner software: This flagship data modeling, information architecture and orchestration software is envisioned to become the foundation of the modeling solution for the SAP real-time data platform, offering a large base of experts to customers. Ford Motor Company recently selected the software to drive its data modeling and management and centralize all logical and physical modeling functions.

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Anurag has more than 6+ years of experience in Sybase Database Development .His Area of expertise includes Performance, Query Optimization, Cost Optimization, TSQL Development. He is also involved in Consultancy to Financial Firms for Database Implementation and Maintenance. He has supported many Global Financial firms and recently started a new portal -Mati Rang. AnVa (Founder) has more than 6+ years Exp in Sybase ASE/REP Database Administration. His area of interest is ASE Implemenation and maintenance , Performace Tunning , Sybase HA ,Shared Cluster and Replication. Also exploring the In-Memory Databases (HANA) , Big Data, Hadoop and Java. He is also supporting the Forum Sybase Team and started this sybaseblog.com in late 2009.Andrew is Guest Blogger on sybaseblog.com. Andrew have been working with Sybase for more than a decade: ASE & RS mostly.
He has written lot of tools that help to manage/monitor the system for ASE and Replication and some tools are on the way..
He is also poet and love to be creative all the way.

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